Instructions to use Jeevesh8/init_bert_ft_qqp-48 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/init_bert_ft_qqp-48 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/init_bert_ft_qqp-48")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/init_bert_ft_qqp-48") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/init_bert_ft_qqp-48", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Added training logs
e8b3d06 -
Saving weights and logs of step 34110
1d81a25 -
Saving weights and logs of step 30000
618c4d4 -
Saving weights and logs of step 25000
e3f9116 -
Saving weights and logs of step 20000
ebf0bb1 -
Saving weights and logs of step 15000
00dfa52 -
Saving tokenizer
f5e50e9 -
initial commit
4f7ac97